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System Retention
Algorithmic CS Ops
Auto Revenue Stack
Developing proprietary low-code solutions and RevOps frameworks with unique mechanics for Onboarding and post-sales. Implementing automated predictive analytics to optimize Contact-Rate, repeated inquiries, NRR, and LTV via Unit Economics
Data-driven strategies for B2B teams. Architecting Retention. Scaling Revenue
Predictable growth model based on Unit Economics & Health Scores
115%
Target Net Revenue Retention (NRR)
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About me

DATA-LED CS OPERATIONS

ENGINEERING RETENTION

Operates at the intersection of Product Analytics and RevOps Arch. This infrastructure grounds Customer Success in Unit Economics and Risk P&L, processing behavioral data to engineer a predictable retention model that mitigates churn and algorithmically drives NRR.
< 9 MO
TARGET CAC PAYBACK
 Achieved through 6+ years of refining Unit Economics in Global SaaS, Cloud, High- Risk markets (US, CIS, MENA)

RISK MODELING

Measure Risk & Protect Capital with Technical Audit and Auto-Churn tools for financial P&L systems
  • Auto-connecting churn data to your financial P&L
  • Technical stress testing for your Unit Economics
  • Predicting how customer value (LTV) changes over time
  • Auto-tools to find and lower your cost-to-serve
  • Predictive scoring for high-risk customers
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Time to operationalize a working Risk Model

RETENTION REPAIR

Fix Structural Churn by engineering systems to isolate broken cohorts and drive them back to profitability
  • Engineering custom cohort modules to find why customers churn
  • Implementing data engines to track product adoption and usage
  • Developing automated workflows to fix broken customer paths
  • Coding Product-Led Retention (PLR) frameworks directly into your tech stack
  • Deploying algorithmic detection for toxic revenue and risk segments
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Avg. Cohort Uplift in Month 3-6

EXPANSION CONVERSION

Scale high-value Expansion Revenue by building automated Product-Led Growth (PLG) systems
  • Developing automated Scoring to prioritize Expansion Opportunities
  • Implementing Rakeback Logic and Up/Cross-sell Triggers
  • QBR/EBR Standardization based on Value Realization
  • Developing ML models for Pricing and Tier Optimization based on Usage Data
  • Developing algorithmic Health Scores for Expansion Potential
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Target GRR for >115% NRR

Data-Led CS OPS

Scale CS Team Performance by engineering data systems and algorithmic workflows
  • Building Tech Stack pipelines (CRM, Product, Billing) for Performance
  • Developing Data Algorithms for Churn/Risk Signal & Monitoring
  • Structuring Data-led Lifecycle Playbooks & Adoption
  • Architecting Hand-Off Optimization (Sales -> CS -> Finance)
  • CSM Capacity Modeling & Territory Assignment via algorithmic logic
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Avg. Target Time to First Value (TTFV)

The proof is in the numbers

NRR Target Achievement
80%
Workflow Automation Coverage
90%
Avg. Time-to-Value Reduction
35%
Leveraging 5+ years of dedicated expertise in Cloud/SaaS Customer Success Revenue Architecture, this proven methodology engineers systems that stabilize retention, eliminate financial risk, and unlock predictable NRR growth
All projects
Case studies
A systematic approach
encompassing Risk Modeling,
Retention Engineering, and
Scalable CS Operations.
Clear Filters
Onboarding Infrastructure: Sustainable -20% TTV
SMB
Onboarding Infrastructure: Sustainable -20% TTV
RevOps Architecting: +12% ARPU | +15% SQL Velocity
Corporate
RevOps Architecting: +12% ARPU | +15% SQL Velocity
SMB
CRM Engineering: +4.8% Reactivation Uplift | +15% NRR
why choose me
Retention-first architecture
Develop tailored Customer Success systems aligned with your business model.
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Product-level engineering
Architecture, logic, and automation - developed for high-load and retention-driven businesses.
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Revenue-focused systems
Every feature and flow is built to improve LTV, NRR, and operational efficiency.
Retention Diagnostic
$549
One meeting - one request
Prioritized action roadmap
Churn drivers & retention gaps (base)
Customer Journey Map (CJM)
Segmentation & lifecycle logic
Limited tools
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Implementation
$2700
✓ Project dive
✓ I lead the process
✓ Project and sprints
✓ Configured lifecycle flows
✓ Full automation + data base flow
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Process Setup
$1500
2-3 meetings per week
Customer Journey Map (CJM)
Segmentation & lifecycle logic
Limited tools
Communication scenarios
Automatisation tools
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My clients
Rolling Global Digital
Pro-Data.tech
1cloud.ru
oblako.kz
Smart-planner
Frequently asked questions
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